Application of Machine Learning Techniques to the Re-ranking of Search Results. - Martin Buchholz; Dirk Pflüger; Josiah Poon (KI, 2004)

Adaptive Sparse Grid Techniques for Data Mining. - Hans-Joachim Bungartz; Dirk Pflüger; Stefan Zimmer 001 (HPSC, 2006)

Adaptive Sparse Grid Classification Using Grid Environments. - Dirk Pflüger; Ioan Lucian Muntean; Hans-Joachim Bungartz (International Conference on Computational Science (1), 2007)

Modellbildung und Simulation - Eine anwendungsorientierte Einführung. - Hans-Joachim Bungartz; Stefan Zimmer 001; Martin Buchholz; Dirk Pflüger (Springer, 2009)

Spatially adaptive sparse grids for high-dimensional data-driven problems. - Dirk Pflüger; Benjamin Peherstorfer; Hans-Joachim Bungartz (J. Complex., 2010)

Spatially Adaptive Sparse Grids for High-Dimensional Problems. - Dirk Pflüger (2010)

A Sparse-Grid-Based Out-of-Sample Extension for Dimensionality Reduction and Clustering with Laplacian Eigenmaps. - Benjamin Peherstorfer; Dirk Pflüger; Hans-Joachim Bungartz (Australasian Conference on Artificial Intelligence, 2011)

Multi- and many-core data mining with adaptive sparse grids. - Alexander Heinecke; Dirk Pflüger (Conf. Computing Frontiers, 2011)

Extending a Highly Parallel Data Mining Algorithm to the Intel ® Many Integrated Core Architecture. - Alexander Heinecke; Michael Klemm; Dirk Pflüger; Arndt Bode; Hans-Joachim Bungartz (Euro-Par Workshops (2), 2011)

Towards High-Performance Implementations of a Custom HPC Kernel Using ® Array Building Blocks. - Alexander Heinecke; Michael Klemm; Hans Pabst; Dirk Pflüger (Facing the Multicore-Challenge, 2011)

Compact data structure and scalable algorithms for the sparse grid technique. - Alin Florindor Murarasu; Josef Weidendorfer; Gerrit Buse; Daniel Butnaru; Dirk Pflüger (PPoPP, 2011)

Towards High-Dimensional Computational Steering of Precomputed Simulation Data using Sparse Grids. - Daniel Butnaru; Dirk Pflüger; Hans-Joachim Bungartz (ICCS, 2011)

Fast Insight into High-Dimensional Parametrized Simulation Data. - Daniel Butnaru; Benjamin Peherstorfer; Hans-Joachim Bungartz; Dirk Pflüger (ICMLA (2), 2012)

Hybrid parallel solutions of the Black-Scholes PDE with the truncated combination technique. - Janos Benk; Dirk Pflüger (HPCS, 2012)

Sparse grid classifiers as base learners for AdaBoost. - Alexander Heinecke; Benjamin Peherstorfer; Dirk Pflüger; Zhongwen Song (HPCS, 2012)

A Non-static Data Layout Enhancing Parallelism and Vectorization in Sparse Grid Algorithms. - Gerrit Buse; Dirk Pflüger; Alin Florindor Murarasu; Riko Jacob (ISPDC, 2012)

A Parallel and Distributed Surrogate Model Implementation for Computational Steering. - Daniel Butnaru; Gerrit Buse; Dirk Pflüger (ISPDC, 2012)

Clustering Based on Density Estimation with Sparse Grids. - Benjamin Peherstorfer; Dirk Pflüger; Hans-Joachim Bungartz (KI, 2012)

Option pricing with a direct adaptive sparse grid approach. - Hans-Joachim Bungartz; Alexander Heinecke; Dirk Pflüger; Stefanie Schraufstetter (J. Comput. Appl. Math., 2012)

Fastsg: A Fast Routines Library for Sparse Grids. - Alin Florindor Murarasu; Gerrit Buse; Dirk Pflüger; Josef Weidendorfer; Arndt Bode (ICCS, 2012)

Modellbildung und Simulation - Eine anwendungsorientierte Einführung, 2. Auflage. - Hans-Joachim Bungartz; Stefan Zimmer 001; Martin Buchholz; Dirk Pflüger (Springer, 2013)

Image Segmentation with Adaptive Sparse Grids. - Benjamin Peherstorfer; Julius Adorf; Dirk Pflüger; Hans-Joachim Bungartz (Australasian Conference on Artificial Intelligence, 2013)

High-Dimensional Meets Parallel: Algorithms and Applications. - Hans-Joachim Bungartz; Dirk Pflüger; Markus Hegland (PARCO, 2013)

Load Balancing for Massively Parallel Computations with the Sparse Grid Combination Technique. - Mario Heene; Christoph Kowitz; Dirk Pflüger (PARCO, 2013)

Global Communication Schemes for the Sparse Grid Combination Technique. - Philipp Hupp; Riko Jacob; Mario Heene; Dirk Pflüger; Markus Hegland (PARCO, 2013)

Scalability and Fault Tolerance of the Alternating Direction Method of Multipliers for Sparse Grids. - Valeriy Khakhutskyy; Dirk Pflüger; Markus Hegland (PARCO, 2013)

Emerging Architectures Enable to Boost Massively Parallel Data Mining Using Adaptive Sparse Grids. - Alexander Heinecke; Dirk Pflüger (Int. J. Parallel Program., 2013)

Modeling and Simulation - An Application-Oriented Introduction. - Hans-Joachim Bungartz; Stefan Zimmer 001; Martin Buchholz; Dirk Pflüger (Springer, 2014)

EXAHD: An Exa-scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond. - Dirk Pflüger; Hans-Joachim Bungartz; Michael Griebel; Frank Jenko; Tilman Dannert; Mario Heene; Christoph Kowitz; Alfredo Parra-Hinojosa; Peter Zaspel (Euro-Par Workshops (2), 2014)

Density Estimation with Adaptive Sparse Grids for Large Data Sets. - Benjamin Peherstorfer; Dirk Pflüger; Hans-Joachim Bungartz (SDM, 2014)

Parallelizing a Black-Scholes solver based on finite elements and sparse grids. - Hans-Joachim Bungartz; Alexander Heinecke; Dirk Pflüger; Stefanie Schraufstetter (Concurr. Comput. Pract. Exp., 2014)

Efficient and scalable distributed-memory hierarchization algorithms for the sparse grid combination technique. - Mario Heene; Dirk Pflüger (PARCO, 2015)

Simulation software engineering: experiences and challenges. - Stefan Wagner 001; Dirk Pflüger; Miriam Mehl (SE-HPCCSE@SC, 2015)

A Massively-Parallel, Fault-Tolerant Solver for High-Dimensional PDEs. - Mario Heene; Alfredo Parra-Hinojosa; Hans-Joachim Bungartz; Dirk Pflüger (Euro-Par Workshops, 2016)

Towards Understanding Optimal Load-Balancing of Heterogeneous Short-Range Molecular Dynamics. - Steffen Hirschmann; Dirk Pflüger; Colin W. Glass (HiPC Workshops, 2016)

The Scalability-Efficiency/Maintainability-Portability Trade-Off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review. - Dirk Pflüger; Miriam Mehl; Julian Valentin; Florian Lindner; David Pfander; Stefan Wagner 001; Daniel Graziotin; Yang Wang 049 (SE-HPCCSE@SC, 2016)

Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++. - Dirk Pflüger; David Pfander (SE-HPCCSE@SC, 2016)

Data mining on vast data sets as a cluster system benchmark. - Alexander Heinecke; Roman Karlstetter; Dirk Pflüger; Hans-Joachim Bungartz (Concurr. Comput. Pract. Exp., 2016)

The SE/MP Trade-off in Simulation Software Engineering: Examples and a Preliminary Systematic Literature Review. - Dirk Pflüger; Miriam Mehl; Julian Valentin; Florian Lindner; Stefan Wagner 001; Daniel Graziotin; Yang Wang 049 (CoRR, 2016)

Global communication schemes for the numerical solution of high-dimensional PDEs. - Philipp Hupp; Mario Heene; Riko Jacob; Dirk Pflüger (Parallel Comput., 2016)

Scalable Algorithms for the Solution of Higher-Dimensional PDEs. - Mario Heene; Dirk Pflüger (Software for Exascale Computing, 2016)

Recent Developments in the Theory and Application of the Sparse Grid Combination Technique. - Markus Hegland; Brendan Harding; Christoph Kowitz; Dirk Pflüger; Peter E. Strazdins (Software for Exascale Computing, 2016)

Load Balancing with p4est for Short-Range Molecular Dynamics with ESPResSo. - Steffen Hirschmann; Malte Brunn; Michael Lahnert; Colin W. Glass; Miriam Mehl; Dirk Pflüger (PARCO, 2017)

A highly scalable, algorithm-based fault-tolerant solver for gyrokinetic plasma simulations. - Michael Obersteiner; Alfredo Parra-Hinojosa; Mario Heene; Hans-Joachim Bungartz; Dirk Pflüger (ScalA@SC, 2017)

Visualization of fracture progression in peridynamics. - Michael Bußler; Patrick Diehl; Dirk Pflüger; Steffen Frey; Filip Sadlo; Thomas Ertl; Marc Alexander Schweitzer (Comput. Graph., 2017)

AutoTuneTMP: Auto-Tuning in C++ With Runtime Template Metaprogramming. - David Pfander; Malte Brunn; Dirk Pflüger (IPDPS Workshops, 2018)

Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX. - David Pfander; Gregor Daiß; Dominic Marcello; Hartmut Kaiser; Dirk Pflüger (IWOCL, 2018)

Comparison of data-driven uncertainty quantification methods for a carbon dioxide storage benchmark scenario. - Markus Köppel; Fabian Franzelin; Ilja Kröker; Sergey Oladyshkin; Gabriele Santin; Dominik Wittwar; Andrea Barth; Bernard Haasdonk; Wolfgang Nowak; Dirk Pflüger; Christian Rohde (CoRR, 2018)

Load-Balancing for Large-Scale Soot Particle Agglomeration Simulations. - Steffen Hirschmann; Andreas Kronenburg; Colin W. Glass; Dirk Pflüger (PARCO, 2019)

Learning-Based Load Balancing for Massively Parallel Simulations of Hot Fusion Plasmas. - Theresa Pollinger; Dirk Pflüger (PARCO, 2019)

From piz daint to the stars: simulation of stellar mergers using high-level abstractions. - Gregor Daiß; Parsa Amini; John Biddiscombe; Patrick Diehl; Juhan Frank; Kevin A. Huck; Hartmut Kaiser; Dominic Marcello; David Pfander; Dirk Pflüger (SC, 2019)

Heterogeneous Distributed Big Data Clustering on Sparse Grids. - David Pfander; Gregor Daiß; Dirk Pflüger (Algorithms, 2019)

Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars. - Thomas Heller; Bryce Adelstein-Lelbach; Kevin A. Huck; John Biddiscombe; Patricia Grubel; Alice E. Koniges; Matthias Kretz; Dominic Marcello; David Pfander; Adrian Serio; Frank J. Seinstra; Geoffrey C. Clayton; et al. (Int. J. High Perform. Comput. Appl., 2019)

Gradient-Based Two-Scale Topology Optimization With B-Splines on Sparse Grids. - Julian Valentin; Daniel Hübner; Michael Stingl; Dirk Pflüger (SIAM J. Sci. Comput., 2020)

EXAHD: A Massively Parallel Fault Tolerant Sparse Grid Approach for High-Dimensional Turbulent Plasma Simulations. - Rafael Lago; Michael Obersteiner; Theresa Pollinger; Johannes Rentrop; Hans-Joachim Bungartz; Tilman Dannert; Michael Griebel; Frank Jenko; Dirk Pflüger (Software for Exascale Computing, 2020)

Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. - Patrick Diehl; Gregor Daiß; Dominic Marcello; Kevin A. Huck; Sagiv Shiber; Hartmut Kaiser; Juhan Frank; Geoffrey C. Clayton; Dirk Pflüger (CLUSTER, 2021)

ORSA: Outlier Robust Stacked Aggregation for Best- and Worst-Case Approximations of Ensemble Systems. - Peter Domanski; Dirk Pflüger; Raphaël Latty; Jochen Rivoir (ICMLA, 2021)

Learning Free-Surface Flow with Physics-Informed Neural Networks. - Raphael Leiteritz; Marcel Hurler; Dirk Pflüger (ICMLA, 2021)

Beyond Fork-Join: Integration of Performance Portable Kokkos Kernels with HPX. - Gregor Daiß; Mikael Simberg; Auriane Reverdell; John Biddiscombe; Theresa Pollinger; Hartmut Kaiser; Dirk Pflüger (IPDPS Workshops, 2021)

Performance-Portable Distributed k-Nearest Neighbors using Locality-Sensitive Hashing and SYCL. - Marcel Breyer; Gregor Daiß; Dirk Pflüger (IWOCL, 2021)

Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique. - Theresa Pollinger; Marcel Hurler; Michael Obersteiner; Dirk Pflüger (HiPar@SC, 2021)

Octo-Tiger's New Hydro Module and Performance Using HPX+CUDA on ORNL's Summit. - Patrick Diehl; Gregor Daiß; Dominic Marcello; Kevin A. Huck; Sagiv Shiber; Hartmut Kaiser; Juhan Frank; Dirk Pflüger (CoRR, 2021)

Self-Learning Tuning for Post-Silicon Validation. - Peter Domanski; Dirk Pflüger; Jochen Rivoir; Raphaël Latty (CoRR, 2021)

How to Avoid Trivial Solutions in Physics-Informed Neural Networks. - Raphael Leiteritz; Dirk Pflüger (CoRR, 2021)

Performance Measurements Within Asynchronous Task-Based Runtime Systems: A Double White Dwarf Merger as an Application. - Patrick Diehl; Dominic Marcello; Parsa Amini; Hartmut Kaiser; Sagiv Shiber; Geoffrey C. Clayton; Juhan Frank; Gregor Daiß; Dirk Pflüger; David Eder; Alice Koniges; Kevin A. Huck (Comput. Sci. Eng., 2021)

B-splines on sparse grids for surrogates in uncertainty quantification. - Michael F. Rehme; Fabian Franzelin; Dirk Pflüger (Reliab. Eng. Syst. Saf., 2021)

Intelligent Methods for Test and Reliability. - Hussam Amrouch; Jens Anders; Steffen Becker 001; Maik Betka; Gerd Bleher; Peter Domanski; Nourhan Elhamawy; Thomas Ertl; Athanasios Gatzastras; Paul R. Genssler; Sebastian Hasler; Martin Heinrich; et al. (DATE, 2022)

From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types. - Gregor Daiß; Srinivas Yadav Singanaboina; Patrick Diehl; Hartmut Kaiser; Dirk Pflüger (ESPM2@SC, 2022)

Machine Learning for Test, Diagnosis, Post-Silicon Validation and Yield Optimization. - Hussam Amrouch; Krishnendu Chakrabarty; Dirk Pflüger; Ilia Polian; Matthias Sauer 002; Matteo Sonza Reorda (ETS, 2022)

PLSSVM: A (multi-)GPGPU-accelerated Least Squares Support Vector Machine. - Alexander Van Craen; Marcel Breyer; Dirk Pflüger (IPDPS Workshops, 2022)

A Comparison of SYCL, OpenCL, CUDA, and OpenMP for Massively Parallel Support Vector Machine Classification on Multi-Vendor Hardware. - Marcel Breyer; Alexander Van Craen; Dirk Pflüger (IWOCL, 2022)

PDEBench: An Extensive Benchmark for Scientific Machine Learning. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (NeurIPS, 2022)

Surrogate-data-enriched Physics-Aware Neural Networks. - Raphael Leiteritz; Patrick Buchfink; Bernard Haasdonk; Dirk Pflüger (NLDL, 2022)

From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels. - Gregor Daiß; Patrick Diehl; Dominic Marcello; Alireza Kheirkhahan; Hartmut Kaiser; Dirk Pflüger (P3HPC@SC, 2022)

A Deep Learning Approach for Thermal Plume Prediction of Groundwater Heat Pumps. - Raphael Leiteritz; Kyle Davis; Miriam Schulte; Dirk Pflüger (CoRR, 2022)

A mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. - Theresa Pollinger; Johannes Rentrop; Dirk Pflüger; Katharina Kormann (CoRR, 2022)

Distributed, combined CPU and GPU profiling within HPX using APEX. - Patrick Diehl; Gregor Daiß; Kevin A. Huck; Dominic Marcello; Sagiv Shiber; Hartmut Kaiser; Juhan Frank; Geoffrey C. Clayton; Dirk Pflüger (CoRR, 2022)

PDEBench Pretrained Models. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2022)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2022)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2022)

PLSSVM - Parallel Least Squares Support Vector Machine. - Alexander Van Craen; Marcel Breyer; Dirk Pflüger (Softw. Impacts, 2022)

Learn to Tune: Robust Performance Tuning in Post-Silicon Validation. - Peter Domanski; Dirk Pflüger; Raphaël Latty (ETS, 2023)

Blood Glucose Prediction for Type-1 Diabetics using Deep Reinforcement Learning. - Peter Domanski; Aritra Ray; Farshad Firouzi; Kyle Lafata; Krishnendu Chakrabarty; Dirk Pflüger (ICDH, 2023)

Performance Evolution of Different SYCL Implementations based on the Parallel Least Squares Support Vector Machine Library. - Marcel Breyer; Alexander Van Craen; Dirk Pflüger (IWOCL, 2023)

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL. - Gregor Daiß; Patrick Diehl; Hartmut Kaiser; Dirk Pflüger (IWOCL, 2023)

Leveraging the Compute Power of Two HPC Systems for Higher-Dimensional Grid-Based Simulations with the Widely-Distributed Sparse Grid Combination Technique. - Theresa Pollinger; Alexander Van Craen; Christoph Niethammer; Marcel Breyer; Dirk Pflüger (SC, 2023)

Comparing a Naive and a Tree-Based N-Body Algorithm using Different Standard SYCL Implementations on Various Hardware. - Tim Thüring; Marcel Breyer; Dirk Pflüger (SC Workshops, 2023)

Scalability of Gaussian Processes Using Asynchronous Tasks: A Comparison Between HPX and PETSc. - Alexander Strack; Dirk Pflüger (WAMTA, 2023)

Deep learning based surrogate modeling for thermal plume prediction of groundwater heat pumps. - Kyle Davis; Raphael Leiteritz; Dirk Pflüger; Miriam Schulte (CoRR, 2023)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2023)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2023)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2023)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2023)

A stable and mass-conserving sparse grid combination technique with biorthogonal hierarchical basis functions for kinetic simulations. - Theresa Pollinger; Johannes Rentrop; Dirk Pflüger; Katharina Kormann (J. Comput. Phys., 2023)

PDEBench Pretrained Models. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2023)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2023)

Large Language Model-Based Optimization for System-Level Test Program Generation. - Denis Schwachhofer; Peter Domanski; Steffen Becker 001; Stefan Wagner 001; Matthias Sauer 002; Dirk Pflüger; Ilia Polian (DFT, 2024)

Training Large Language Models for System-Level Test Program Generation Targeting Non-functional Properties. - Denis Schwachhofer; Peter Domanski; Steffen Becker 001; Stefan Wagner 001; Matthias Sauer 002; Dirk Pflüger; Ilia Polian (ETS, 2024)

A HPX Communication Benchmark: Distributed FFT Using Collectives. - Alexander Strack; Dirk Pflüger (Euro-Par Workshops (2), 2024)

Short Paper: Evaluation of stdpar Compilers on a Kernel Matrix Assembly and a BLAS Level 3 SYMM Kernel. - Marcel Breyer; Alexander Van Craen; Dirk Pflüger (ISPDC, 2024)

Evaluation of SYCL's Different Data Parallel Kernels. - Marcel Breyer; Alexander Van Craen; Dirk Pflüger (IWOCL, 2024)

hws: A Tool for Monitoring Hardware Metrics Across Diverse Vendors: A Case Study on Hyperparameter Optimization Algorithms. - Marcel Breyer; Alexander Van Craen; Peter Domanski; Dirk Pflüger (SC Workshops, 2024)

Introduction to Parallel and Distributed Programming using N-Body Simulations. - Alexander Van Craen; Marcel Breyer; Dirk Pflüger (SC Workshops, 2024)

Realizing Joint Extreme-Scale Simulations on Multiple Supercomputers - Two Superfacility Case Studies. - Theresa Pollinger; Alexander Van Craen; Philipp Offenhäuser; Dirk Pflüger (SC, 2024)

Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-Study. - Alexander Strack; Christopher Taylor; Patrick Diehl; Dirk Pflüger (WAMTA, 2024)

Large Language Models to Generate System-Level Test Programs Targeting Non-functional Properties. - Denis Schwachhofer; Peter Domanski; Steffen Becker 001; Stefan Wagner 001; Matthias Sauer 002; Dirk Pflüger; Ilia Polian (CoRR, 2024)

Experiences Porting Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study. - Alexander Strack; Christopher Taylor; Patrick Diehl; Dirk Pflüger (CoRR, 2024)

Asynchronous-Many-Task Systems: Challenges and Opportunities - Scaling an AMR Astrophysics Code on Exascale machines using Kokkos and HPX. - Gregor Daiß; Patrick Diehl; Jiakun Yan; John K. Holmen; Rahulkumar Gayatri; Christoph Junghans; Alexander Straub; Jeff R. Hammond; Dominic Marcello; Miwako Tsuji; Dirk Pflüger; Hartmut Kaiser (CoRR, 2024)

PDEBench Datasets. - Makoto Takamoto; Timothy Praditia; Raphael Leiteritz; Daniel MacKinlay; Francesco Alesiani; Dirk Pflüger; Mathias Niepert (DaRUS, 2024)

Experiences Porting Shared and Distributed Applications to Asynchronous Tasks: A Multidimensional FFT Case-study. - Alexander Strack; Christopher Taylor; Patrick Diehl; Dirk Pflüger (DaRUS, 2024)

Research Data Management in Simulation Science: Infrastructure, Tools, and Applications. - Bernd Flemisch; Sibylle Hermann; Melanie Herschel; Dirk Pflüger; Jürgen Pleiss; Jan Range; Sarbani Roy; Makoto Takamoto; Benjamin Uekermann (Datenbank-Spektrum, 2024)

Simulating stellar merger using HPX/Kokkos on A64FX on Supercomputer Fugaku. - Patrick Diehl; Gregor Daiß; Kevin A. Huck; Dominic Marcello; Sagiv Shiber; Hartmut Kaiser; Dirk Pflüger (J. Supercomput., 2024)

DisCoTec: Distributed higher-dimensional HPC simulations with the sparse grid combination technique. - Theresa Pollinger; Marcel Hurler; Alexander Van Craen; Michael Obersteiner; Dirk Pflüger (J. Open Source Softw., 2025)

GPRat: Gaussian Process Regression with Asynchronous Tasks. - Maksim Helmann; Alexander Strack; Dirk Pflüger (CoRR, 2025)

Parallel FFTW on RISC-V: A Comparative Study including OpenMP, MPI, and HPX. - Alexander Strack; Christopher Taylor; Dirk Pflüger (CoRR, 2025)